数字农科院2.0

Accurate Detection Method and Device for Internal Diseases of Fruit Tree Trunk Based on Electromagnetic Wave Imaging

文献类型： 外文期刊

作者： Wang Yapeng; Sun Wei; Liu Jifang; Kong Fantao; Cao Shanshan

作者机构：

关键词： Circular waveguides; Damage detection; Defects; Forestry; Fruits; Nondestructive examination; Radar imaging; Accurate imaging; Detection device; Detection methods; Fruit trees; Identification method; Insects pests; Irreversible damage; Observation method; Wave imaging; Wood defects; Electromagnetic waves

期刊名称： 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2022

ISSN：

年卷期： 2022 年

页码：

收录情况： EI（2022版）

摘要： In order to change the passive management after the outbreak of diseases and insect pests in the trunk of fruit trees into active prevention before the outbreak, in view of the shortcomings of the early traditional artificial methods, such as the knock identification method, visual method and anatomical observation method, such as poor timeliness, low accuracy and easy to cause irreversible damage to trees, etc., By combining the radar chip module, electromagnetic wave transmitting and receiving module, radar antenna module and software analysis module, this paper designed an accurate detection method and device for the defects of diseases and pests inside the trunk of fruit trees based on electromagnetic wave imaging. The system quantitatively evaluates the location, size and shape of the internal diseases and wormhole defects of the trees, without causing damage to the wood, and realizing the non-destructive inspection of the wood. © 2022 IEEE.

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